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Variable Step-Size Least Mean Fourth Adaptive Algorithm

Least Mean Fourth (LMF) algorithm that gives better convergence rate in non-Gaussian noise environment has not been researched in its full;

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Adaptive Filtering

. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB (R) covers the core concepts of this important field, focusing on a vital part;

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Adaptive Filtering

. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB covers the core concepts of this important field, focusing on a vital part;

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Partial Update Least-Square Adaptive Filtering

important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity ($O(N)$) and simplicity;

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Partial Update Least-Square Adaptive Filtering

important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity ($O(N)$) and simplicity;

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Theory of Affine Projection Algorithms for Adaptive Filtering

generalization of the classical, normalized least-mean-squares (NLMS) algorithm. The book first explains how the APA evolved from the NLMS algorithm;

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Genomic Sequence Analysis for Exon Prediction Using Adaptive Signal Processing Algorithms

analysis. Then, they extend the approach of least mean squares (LMS) algorithm and its sign-based realizations with normalization factor for DNA;

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Proportionate-type Normalized Least Mean Square Algorithms

The topic of this book is proportionate-type normalized least mean squares (PtNLMS) adaptive filtering algorithms, which attempt to;

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Complex Valued Nonlinear Adaptive Filters

is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This;

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Genetic Algorithms in Electromagnetics

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms;

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Least-Mean-Square Adaptive Filters

Edited by the original inventor of the technology. Includes contributions by the foremost experts in;...

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Sparse Adaptive Filters for Echo Cancellation

is important to improve the convergence rate and tracking of the conventional algorithms used for these applications. This can be achieved by;

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QUANTILE REGRESSION - Applications on Experimental and Cross Section Data Using EVIEWS

The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships;

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Adaptive Filtering Primer with MATLAB

Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many;

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Adaptive Filtering Primer With Matlab

Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. They also supply many;

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Adaptive IIR Filtering in Signal Processing and Control

impulse response (IIR) filters. The choice of filter structure to adapt, algorithm design and the approximation properties for each type;

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Advanced Sampling Methods

This book discusses all major topics on survey sampling and estimation. It covers traditional as wel;...

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Advanced Sampling Methods

This book discusses all major topics on survey sampling and estimation. It covers traditional as wel;...

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Smart Antennas

processing, focusing on the simple matrix inversion algorithm, constrained least mean squares (LMS), the neural network approach, and more. The text;

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Evaluation of node weight-based congestion adaptive routing algorithm in MANET packet routing

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Advances in Engineering Research

constraints of energy limitation. A review of traditional data collection methods is provided with details. In closing, the algorithm for full;

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Adaptive Filtering

In the fourth edition of Adaptive Filtering: Algorithms and Practical Implementation, author Paulo S.R. Diniz presents the basic concepts;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

techniques, clustering is done using adaptive k-means algorithm and post processing using image processing techniques in MATLAB.;

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Video object Tracking

, and camera motion.The work carried out implements object tracking using mean shift based algorithm and feature based algorithm for an;

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Let Portfolio Choose Its Own Funds

) constructed by the Markowitz Mean-Variance (MV) model or Genetic Algorithm (GA) to that of S&P 500 and that of equal weight portfolio of Mutual funds;

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Adaptive Control

and indirect adaptive regulation and adaptive feedforward disturbance compensation. Many algorithms are newly presented in MATLAB (R) m-file;

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Safe Adaptive Control

Safe Adaptive Control gives a formal and complete algorithm for assuring the stability of a switched control system when at least one;

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